High SAFE scores predict hepatocellular carcinoma in viral and non-viral hepatitis and metabolic dysfunction associated steatotic liver disease.

Background/aims: There are no hepatocellular carcinoma (HCC) surveillance recommendations for non-viral chronic liver diseases (CLD), such as metabolic dysfunction associated steatotic liver disease (MASLD). We explored the Steatosis-Associated Fibrosis Estimator (SAFE) score to predict HCC in MASLD and other CLD etiologies.

Methods: Patients with various CLDs were included from medical centers in Taiwan.

Repurposing of SARS-CoV-2 compounds against Marburg Virus using MD simulation, mm/GBSA, PCA analysis, and free energy landscape.

The significant mortality rate associated with Marburg virus infection made it the greatest hazard among infectious diseases. Drug repurposing using methods has been crucial in identifying potential compounds that could prevent viral replication by targeting the virus's primary proteins. This study aimed at repurposing the drugs of SARS-CoV-2 for identifying potential candidates against the matrix protein VP40 of the Marburg virus.

CRISPR/Cas9 as a therapeutic tool for triple negative breast cancer: from bench to clinics.

Clustered regularly interspaced short palindromic repeats (CRISPR) is a third-generation genome editing method that has revolutionized the world with its high throughput results. It has been used in the treatment of various biological diseases and infections. Various bacteria and other prokaryotes such as archaea also have CRISPR/Cas9 systems to guard themselves against bacteriophage.

Identification of small molecule inhibitors of RAD52 for breast cancer therapy: in silico approach.

The breast cancer susceptibility gene 1/2 (BRCA1/2) are the key regulators in maintaining the genomic integrity and mutations in these genes have been associated with development of breast and ovarian cancers. Also, synthetic lethality has been shown in BRCA1/2 deficient cancers, when the RAD52 gene is silenced by shRNA or small molecules aptamers, suggesting a role for RAD52 in the breast cancers pathogenesis. Thus, to find the potential inhibitors of RAD52, a collection of 21,000 compounds from the ChemBridge screening library was screened to conduct molecular docking and molecular dynamics simulation (MD) against RAD52.

Transcriptomic Profiling Unravels Novel Deregulated Gene Signatures Associated with Acute Myocardial Infarction: A Bioinformatics Approach.

Acute myocardial infarction (AMI) is a severe disease with elevated morbidity and mortality rate worldwide. This is attributed to great losses of cardiomyocytes, which can trigger the alteration of gene expression patterns. Although several attempts have been made to assess the AMI biomarkers, to date their role in rescuing myocardial injury remains unclear.

Identification of Patients with Potential Atrial Fibrillation during Sinus Rhythm Using Isolated P Wave Characteristics from 12-Lead ECGs.

Atrial fibrillation (AF) is largely underdiagnosed. Previous studies using deep neural networks with large datasets have shown that screening AF with a 12-lead electrocardiogram (ECG) during sinus rhythm (SR) is possible. However, the poor availability of these trained models and the small size of the retrievable datasets limit its reproducibility.

Determining Carina and Clavicular Distance-Dependent Positioning of Endotracheal Tube in Critically Ill Patients: An Artificial Intelligence-Based Approach.

Early and accurate prediction of endotracheal tube (ETT) location is pivotal for critically ill patients. Automatic and timely detection of faulty ETT locations from chest X-ray images may avert patients' morbidity and mortality. Therefore, we designed convolutional neural network (CNN)-based algorithms to evaluate ETT position appropriateness relative to four detected key points, including tracheal tube end, carina, and left/right clavicular heads on chest radiographs.

Deep-Learning Approach to Predict Survival Outcomes Using Wearable Actigraphy Device Among End-Stage Cancer Patients.

Survival prediction is highly valued in end-of-life care clinical practice, and patient performance status evaluation stands as a predominant component in survival prognostication. While current performance status evaluation tools are limited to their subjective nature, the advent of wearable technology enables continual recordings of patients' activity and has the potential to measure performance status objectively. We hypothesize that wristband actigraphy monitoring devices can predict in-hospital death of end-stage cancer patients during the time of their hospital admissions.

Genome-Wide Scanning of Potential Hotspots for Adenosine Methylation: A Potential Path to Neuronal Development.

Methylation of adenosines at N6 position (m6A) is the most frequent internal modification in mRNAs of the human genome and attributable to diverse roles in physiological development, and pathophysiological processes. However, studies on the role of m6A in neuronal development are sparse and not well-documented. The m6A detection remains challenging due to its inconsistent pattern and less sensitivity by the current detection techniques.

Reenvisioning Traditional to Regenerative Therapeutic Advances in Managing Nonalcoholic Fatty Liver Disease in Diabetes Mellitus.

Reports indicate the increasing prevalence of liver disorders in diabetes mellitus (DM) patients. Clinically, it has also been revealed that the existence of nonalcoholic fatty liver disease (NAFLD) enhances the incidence of type 2 diabetes mellitus (T2DM), while T2DM exacerbates NAFLD to extremely severe forms of steatohepatitis, cirrhosis, and hepatocellular carcinoma. This implies the coexistence and bidirectional nature of NAFLD and T2DM, which function synergistically to drive adverse consequences in clinical practice.

Extracellular Vesicle-Based Therapy for COVID-19: Promises, Challenges and Future Prospects.

The COVID-19 pandemic has become a serious concern and has negatively impacted public health and the economy. It primarily targets the lungs, causing acute respiratory distress syndrome (ARDS); however, it may also lead to multiple organ failure (MOF) and enhanced mortality rates. Hence, there is an urgent need to develop potential effective therapeutic strategies for COVID-19 patients.

Using Transfer Learning Method to Develop an Artificial Intelligence Assisted Triaging for Endotracheal Tube Position on Chest X-ray.

Endotracheal tubes (ETTs) provide a vital connection between the ventilator and patient; however, improper placement can hinder ventilation efficiency or injure the patient. Chest X-ray (CXR) is the most common approach to confirming ETT placement; however, technicians require considerable expertise in the interpretation of CXRs, and formal reports are often delayed. In this study, we developed an artificial intelligence-based triage system to enable the automated assessment of ETT placement in CXRs.

Understanding the Future Prospects of Synergizing Minimally Invasive Transforaminal Lumbar Interbody Fusion Surgery with Ceramics and Regenerative Cellular Therapies.

Transforaminal lumber interbody fusion (TLIF) is the last resort to address the lumber degenerative disorders such as spondylolisthesis, causing lower back pain. The current surgical intervention for these abnormalities includes open TLIF. However, in recent years, minimally invasive TLIF (MIS-TLIF) has gained a high momentum, as it could minimize the risk of infection, blood loss, and post-operative complications pertaining to fusion surgery.

The development an artificial intelligence algorithm for early sepsis diagnosis in the intensive care unit.

Background: Severe sepsis and septic shock are still the leading causes of death in Intensive Care Units (ICUs), and timely diagnosis is crucial for treatment outcomes. The progression of electronic medical records (EMR) offers the possibility of storing a large quantity of clinical data that can facilitate the development of artificial intelligence (AI) in medicine. However, several difficulties, such as poor structure and heterogenicity of the raw EMR data, are encountered when introducing AI with ICU data.

Statin Use and Influenza Vaccine Effectiveness in Persons >65 Years of Age, Taiwan.

Debates on whether statin use reduces the effectiveness of influenza vaccines against critical illness and death among persons >65 years of age continue. We conducted a study of 9,427,392 persons >65 years of age who did and did not receive influenza vaccinations during 12 consecutive influenza seasons, 2000-01 through 2011-12. Using data from Taiwan's National Health Insurance Research Database, we performed propensity score-matching to compare vaccinated persons with unvaccinated controls.

Association between renin-angiotensin-aldosterone system blockade and future osteoporotic fracture risk in hypertensive population: A population-based cohort study in Taiwan.

Tissue renin-angiotensin-aldosterone system (RAAS) activation in sites of osteoporosis had been demonstrated in animal studies; however, the possibility of RAAS blockade to prevent future osteoporotic fracture had rarely been verified in clinical studies. We Used the Taiwan Longitudinal Health insurance database 2000 to 2008, the cohort study comprised patients age over 40 with a recorded new diagnosis of hypertension between January 1, 2000 to December 31, 2008, in addition, patients who had diagnosis of osteoporosis before the date of cohort enter were excluded. After the definite diagnosis of hypertension, each patient was followed until osteoporotic fracture happened or the end of 2008.

Impact of Beta-Blocker Initiation Timing on Mortality Risk in Patients With Diabetes Mellitus Undergoing Noncardiac Surgery: A Nationwide Population-Based Cohort Study.

Background: Relevant clinical studies have been small and have not convincingly demonstrated whether the perioperative initiation of beta-blockers should be considered in patients with diabetes mellitus undergoing noncardiac surgery.

Methods And Results: In this nationwide propensity score-matched study, we included patients with diabetes mellitus undergoing noncardiac surgery between 2000 and 2011 from Taiwan's National Health Insurance Research Database. Patients were classified as beta-blocker and non-beta-blocker cohorts.

Pyogenic liver abscess in end-stage renal disease patients: a nationwide longitudinal study.

End-stage renal disease (ESRD) patients are more prone to infectious disease because of their immunocompromised status. However, the association between pyogenic liver abscess (PLA) and ESRD remains not clear. The aim of our study is to evaluate the incidence, risk factors, and outcomes of PLA in ESRD patients.

Effect of statin therapy on mortality in patients with infective endocarditis.

The aim of our study was to determine whether pre-emptive statin therapy was associated with improved outcome of infective endocarditis (IE). We conducted a nationwide, population-based, propensity score-matched cohort study with the Taiwan's National Health Insurance Research Database. All patients with IE between January 2000 and December 2010 were enrolled.

Folic acid supplementation in end-stage renal disease patients reduces total mortality rate.

Background: Patients with end-stage renal disease (ESRD) are at high risk of cardiovascular disease and elevated serum homocysteine levels. Although folic acid supplementation has been documented to reduce serum homocysteine levels in ESRD patients, most trials of folic acid therapy for reducing cardiovascular diseases in ESRD patients have failed, mainly because of limited patient numbers.

Methods: We used the Taiwan National Health Insurance Research Database (NHIRD) to conduct a matched-pair retrospective cohort study to clarify whether folic acid supplementation benefits ESRD patient survival.

Acute cholecystitis in end-stage renal disease patients: a nation-wide longitudinal study.

Background: The objective of this study was to evaluate the risks of acute cholecystitis among end-stage renal disease patients and compare the incidence between two dialysis modality.

Study Design: In this retrospective cohort study, records of fifty thousand end-stage renal disease patients older than 20 years of age from 1998 to 2007 and an age, gender, Charlson's score, diabetes, and dyslipidemia matched control cohort were retrieved from Taiwan National Health Insurance Research Database. Hospitalizations for acute cholecystitis were retrieved using ICD-9-CM diagnosis codes and ICD-9-CM operation codes from in-patient claims.

Mesenteric ischemia in patients with end-stage renal disease: a nationwide longitudinal study.

Background And Aims: Mesenteric ischemia is an uncommon disorder associated with an extremely high mortality rate. Only limited studies have evaluated this lethal disease among patients with end-stage renal disease (ESRD). The objective of this study was to evaluate the risks of mesenteric ischemia among ESRD patients and compare the incidence between two dialysis modalities.

Using vote cards to encourage active participation and to improve critical appraisal skills in evidence-based medicine journal clubs.

Rationale, Aims And Objectives: Evidence-based medicine (EBM) journal clubs are used by health care practitioners to critique and remain updated on relevant health literature. Vote cards, in three different colours (green/yellow/red), allow participants to express their opinions (agree/doubt/reject) on the quality and possibility of clinical application regarding the article being reviewed. Our aim is to assess the efficacy of using vote cards in EBM journal clubs.

Relationship between electrolytes and heart rate variability parameters in end-stage renal failure patients before and after hemodialysis.

Objective: One of the major causes of death in end-stage renal disease (ESRD) patients under maintenance hemodialysis (HD) is ventricular arrhythmias (VA). Heart rate variability (HRV) has been claimed to be related to disturbance of autonomic nervous system and therefore a predictor for VA occurrence. The purpose of this study is to evaluate the relationship between the HRV parameters and electrolytes before and after hemodialysis in ESRD patients.